基于时间序列分析的MEMS陀螺仪随机漂移建模研究  

Research on Random Drift Modeling of MEMS Gyroscope Based on Time Series Analysis

作　　者：包书怡 袁心仪 BAO Shuyi;YUAN Xinyi

机构地区：[1]江苏师范大学敬文书院,江苏徐州221116 [2]江苏师范大学电气工程及自动化学院,江苏徐州221116

出　　处：《科技创新与应用》2021年第15期36-38,共3页Technology Innovation and Application

基　　金：江苏省大学生创新训练计划重点资助项目(编号:201910320070Z)。

摘　　要：MEMS陀螺仪测量输出中的随机噪声是影响惯性导航精度的关键因素,为了探寻软件降噪的可行性,文章将时间序列分析理论应用于陀螺仪随机漂移误差的建模。以某MEMS惯性测量单元的实测数据为基础,对MEMS陀螺仪随机漂移建模过程进行了研究,试验结果表明所述方法能够有效降低陀螺仪测量噪声,提高测量准确度。Random noise in the measurement output of MEMS gyroscope is a key factor affecting the accuracy of inertial navigation.In order to explore the feasibility of noiser eduction through software,this paper applies the theory of Time Series Analysis to the modeling of random drift error of the gyroscope.Based on the measured data of an inertial measurement unit of a MEMS,the random drift modeling process of the MEMS gyroscope is studied.The experimental results show that this method can effectively reduce the measurement noise of the gyroscope and improve the accuracy of the measurement.

关 键 词：MEMS陀螺仪 时间序列分析 AR模型 随机漂移 

分 类 号：V241.5[航空宇航科学与技术—飞行器设计]